Evidence map›Paper›PMID 35071335›Full record

ArticleFrontiers in robotics and AI2021

Undulatory Swimming Performance Explored With a Biorobotic Fish and Measured by Soft Sensors and Particle Image Velocimetry.

Fabian Schwab, Fabian Wiesemüller, Claudio Mucignat, Yong-Lae Park, Ivan Lunati, Mirko Kovac, Ardian Jusufi

Abstract read
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In one paragraph

Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fabian SchwabLocomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Stuttgart, Germany.
Fabian WiesemüllerAerial Robotics Lab (ARL), Department of Aeronautics, Imperial College London, London, United Kingdom.
Claudio MucignatLaboratory for Multiscale Studies in Building Physics, EMPA, Zürich, Switzerland.
Yong-Lae ParkSoft Robotics and Bionics Lab, Department of Mechanical Engineering, Seoul National University, Seoul, South Korea.
Ivan LunatiLaboratory for Multiscale Studies in Building Physics, EMPA, Zürich, Switzerland.
Mirko KovacAerial Robotics Lab (ARL), Department of Aeronautics, Imperial College London, London, United Kingdom.
Ardian JusufiLocomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the difficulty of manipulating muscle activation in live, freely swimming fish, a thorough examination of the body kinematics, propulsive performance, and muscle activity patterns in fish during undulatory swimming motion has not been conducted. We propose to use soft robotic model animals as experimental platforms to address biomechanics questions and acquire understanding into subcarangiform fish swimming behavior. We extend previous research on a bio-inspired soft robotic fish equipped with two pneumatic actuators and soft strain sensors to investigate swimming performance in undulation frequencies between 0.3 and 0.7 Hz and flow rates ranging from 0 to 20

Indexed as

DMDfeedbackfishflowPIVrobotsensortail

Identifiers

PMID35071335
PMCPMC8778575

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.